DEVELOPMENT OF AUTO-SCALING SYSTEM IN DOCKER PLATFORM

• Main Author: ALIF IBADURRAHMAN - NIM : 13513072 , NITHO
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/23515
• Institution: Institut Teknologi Bandung

One of the technological advancement that are currently being discussed about is containerization technology, specifically about Docker software. Docker allows automation of repetitive tasks to set up and configure deployment environments. One of the new features added to Docker is the features of cluster management. Docker Swarm, which is an integrated cluster management feature, enables the management of a bunch of host through one command entry-point. <br /> <br /> <br /> <br /> Docker Swarm also has some flagship features, such as scaling, load balancing, as well as failure reconciliation with Raft consensus. However, some of these features are still limited in functionality. Associated with scalability and availability issues, Docker Swarm does not yet support native automatic scanning mechanisms. In fact, scalability automation is one way to improve scalability. <br /> <br /> <br /> <br /> The purpose of this final project is the development of automatic scaling applications for the Docker platform. Development of automatic scaling mechanism is done by using the internal Docker Swarm mechanism. This not only makes implementation simpler, but also keeps the superior features of Docker Swarm working properly. <br />